Results 201 to 210 of about 139,090 (312)

Probabilistic prediction of rate‐dependent rock strength using natural gradient boosting and Gaussian process regression

Deep Underground Science and Engineering, EarlyView.
Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley   +1 more source

Trends in nontraumatic intestinal perforation-related mortality among adults in the United States from 1999 to 2020: A nationwide CDC WONDER analysis. [PDF]

Medicine (Baltimore)
Anyagwa OE, Siraj HM, Zahid H, Dairo OA, Ahmad MH, Joshi M, Sarguroh Khan MAQ, Abdulkader A, Ali M, Babu A, Pant N, Zubair A, Nwaduru CE.   +12 more
europepmc   +1 more source

Rock mechanical properties under reconstructed deep in situ thermo–hydro–mechanical conditions: Implications for CO₂‐related injection scenarios

Deep Underground Science and Engineering, EarlyView.
The graphical abstract illustrates a reconstructed in situ thermo‐hydro‐mechanical (THM) framework in which porosity serves as the central variable linking stress, pore pressure, and temperature to evolving mechanical properties of rocks. Under burial conditions, in situ stress, pore pressure, and temperature jointly govern volumetric strain and ...
Mingyuan Lu, Jun Wang, Zixiong Qi, Ruixuan Chen, Hongtao Wang, Hongwei Zhou   +5 more
wiley   +1 more source

Barriers beyond behavior: structural determinants of behavioral health treatment disparities among Hispanics in the U.S. [PDF]

Front Public Health
Gonzalez M, Cabrero Castro JE, Umucu E, Rojas-Alvarez A.   +3 more
europepmc   +1 more source

Explainable hybrid stacking ensemble method for hard rock pillar stability prediction and engineering applications

Deep Underground Science and Engineering, EarlyView.
This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang, Guoyan Zhao, Meng Wang, Taraka Pattela   +3 more
wiley   +1 more source

Computational feasibility of large-scale three-dimensional seismic analysis for a fully prefabricated underground metro station. [PDF]

Sci Rep
Chen B, Dong Q, Zhai L.
europepmc   +1 more source

Investigation on the failure evolution characteristics of surrounding rock in deep cross‐fault roadway: Based on physical model test and numerical simulation

Deep Underground Science and Engineering, EarlyView.
This study reveals the failure evolution characteristics of deep cross‐fault roadway surrounding rock under excavation support and periodic weighting. Periodic weighting readily induces fault activation, with the spatial distribution of failed rock masses being controlled by the fault strike and dip.
Tiezhu Li, Suping Peng, Jing Zheng, Zhanhua Yang, Qijun Tian   +4 more
wiley   +1 more source

Partners, Pride, and Prevention: Scaling Mpox Vaccination Access Across Minnesota. [PDF]

Int J Environ Res Public Health
Johansen IME, McCampbell DK, Leners LM.
europepmc   +1 more source

Integrated numerical simulation and source‐sink matching methodology for Basin‐Wide CO2 storage assessment in depleted reservoirs: A Cambay Basin case study

Deep Underground Science and Engineering, EarlyView.
This study presents an integrated workflow to evaluate secure and large‐scale CO2 storage in depleted oil reservoirs of the Cambay Basin, India. Industrial CO2 sources are systematically matched with mature oil fields using a quantitative source–sink framework to minimize transport distance and cost.
Bhaskarjyoti Khanikar
wiley   +1 more source

Facility Assessment for the Implementation of the Philippine Package of Essential Noncommunicable Disease Interventions (PhilPEN) in Primary Health Care Centers in Metro Manila. [PDF]

Acta Med Philipp
Parco JP, Dela Luna KLG, Talavera MTM.
europepmc   +1 more source